对齐与安全论文趋势 2023–2026
RLHF、偏好优化、红队与安全对齐
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 4,558 篇被归入该主题的论文。
主要结论
- 对齐与安全论文从 2023 年的 438 篇增长到 2026 年的 1,882 篇,三年间扩大到约 4.3 倍。
- NeurIPS 是发对齐与安全论文最多的会议,2023–2026 年共 1,421 篇,占四个会议总量的 31%。
- 交叉方向里涨得最快的是社会层面 · safety:同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 137 篇。
- 在「对齐与负责任 AI」的 5 个主题里,它的 2026 年论文数排第 1;同组增长最快的社会层面 · safety是 93 倍,对齐与安全是 4.3 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 138 | 87 | 101 | 112 | 438 |
| 2024 | 348 | 156 | 246 | 125 | 875 |
| 2025 | 455 | 473 | 300 | 135 | 1,363 |
| 2026 | 480 | 623 | 551 | 228 | 1,882 |
代表论文
按年份和会议均匀挑选,方便快速看到每一届的样貌
- NeurIPS 2026$\gamma$-weakly $\theta$-up-concavity: A Unified Framework for Non-Convex Optimization Beyond DR-Submodular and OSS Functions
- ICML 2026AICrypto: Evaluating Cryptography Capabilities of Large Language Models
- ICLR 2026A Fair Bayesian Inference through Matched Gibbs Posterior
- CVPR 2026Advancing Cancer Prognosis with Hierarchical Fusion of Genomic Proteomic and
- NeurIPS 2025$\Psi$-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models
- ICML 2025A Checks-and-Balances Framework for Context-Aware Ethical AI Alignment
- ICLR 2025$\sigma$-zero: Gradient-based Optimization of $\ell_0$-norm Adversarial Examples
- CVPR 2025AesthetiQ: Enhancing Graphic Layout Design via Aesthetic-Aware Preference Alignment of Multi-modal Large Language Models
- NeurIPS 2024A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences
- ICML 2024A Global Geometric Analysis of Maximal Coding Rate Reduction
- ICLR 2024A unique M-pattern for micro-expression spotting in long videos
- CVPR 2024Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation
- NeurIPS 2023(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability
- ICML 2023A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks
- ICLR 2023Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness
- CVPR 2023Adjustment and Alignment for Unbiased Open Set Domain Adaptation
- NeurIPS 2026$\mathcal{P}$Torch: Narrowing the Gap Between Projection and Gradient-Based Learning
- ICML 2026Alignment Pretraining: AI Discourse Causes Self-Fulfilling (Mis)alignment
- ICLR 2026A2D: Any-Order, Any-Step Safety Alignment for Diffusion Language Models
- CVPR 2026AlignPose Generalizable 6D Pose Estimation via Multi-view Feature-metric Alignment
全部对齐与安全论文
共 1,421 篇,第 13 / 29 页
- NeurIPS 2025Doubly Robust Alignment for Large Language Models
- NeurIPS 2025DP²O-SR: Direct Perceptual Preference Optimization for Real-World Image Super-Resolution
- NeurIPS 2025DriveDPO: Policy Learning via Safety DPO For End-to-End Autonomous Driving
- NeurIPS 2025DSAS: A Universal Plug-and-Play Framework for Attention Optimization in Multi-Document Question Answering
- NeurIPS 2025Dual Alignment Framework for Few-shot Learning with Inter-Set and Intra-Set Shifts
- NeurIPS 2025Dual Data Alignment Makes AI-Generated Image Detector Easier Generalizable
- NeurIPS 2025DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers
- NeurIPS 2025Dynamic Diameter in High-Dimensions against Adaptive Adversary and Beyond
- NeurIPS 2025Dynamic Risk Assessments for Offensive Cybersecurity Agents
- NeurIPS 2025Dynamical Decoupling of Generalization and Overfitting in Large Two-Layer Networks
- NeurIPS 2025Efficient and Generalizable Mixed-Precision Quantization via Topological Entropy
- NeurIPS 2025Efficient and Near-Optimal Algorithm for Contextual Dueling Bandits with Offline Regression Oracles
- NeurIPS 2025Efficient Preference-Based Reinforcement Learning: Randomized Exploration meets Experimental Design
- NeurIPS 2025Elastic Robust Unlearning of Specific Knowledge in Large Language Models
- NeurIPS 2025ElliCE: Efficient and Provably Robust Algorithmic Recourse via the Rashomon Sets
- NeurIPS 2025Embracing Contradiction: Theoretical Inconsistency Will Not Impede the Road of Building Responsible AI Systems
- NeurIPS 2025Enhancing CLIP Robustness via Cross-Modality Alignment
- NeurIPS 2025Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment
- NeurIPS 2025Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimization
- NeurIPS 2025EraseFlow: Learning Concept Erasure Policies via GFlowNet-Driven Alignment
- NeurIPS 2025Erasing Conceptual Knowledge from Language Models
- NeurIPS 2025Error Broadcast and Decorrelation as a Potential Artificial and Natural Learning Mechanism
- NeurIPS 2025ErrorTrace: A Black-Box Traceability Mechanism Based on Model Family Error Space
- NeurIPS 2025ESCA: Enabling Seamless Codec Avatar Execution through Algorithm and Hardware Co-Optimization for Virtual Reality
- NeurIPS 2025EVOREFUSE: Evolutionary Prompt Optimization for Evaluation and Mitigation of LLM Over-Refusal to Pseudo-Malicious Instructions
- NeurIPS 2025Explainable Reinforcement Learning from Human Feedback to Improve Alignment
- NeurIPS 2025Explaining and Mitigating Crosslingual Tokenizer Inequities
- NeurIPS 2025Explaining the Law of Supply and Demand via Online Learning
- NeurIPS 2025Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback
- NeurIPS 2025Fact-R1: Towards Explainable Video Misinformation Detection with Deep Reasoning
- NeurIPS 2025Failure Prediction at Runtime for Generative Robot Policies
- NeurIPS 2025Fair Minimum Labeling: Efficient Temporal Network Activations for Reachability and Equity
- NeurIPS 2025Fast Computation and Optimization for Opinion-Based Quantities of Friedkin-Johnsen Model
- NeurIPS 2025FastJAM: a Fast Joint Alignment Model for Images
- NeurIPS 2025FedFree: Breaking Knowledge-sharing Barriers through Layer-wise Alignment in Heterogeneous Federated Learning
- NeurIPS 2025FedWMSAM: Fast and Flat Federated Learning via Weighted Momentum and Sharpness-Aware Minimization
- NeurIPS 2025Finding and Reactivating Post-Trained LLMs' Hidden Safety Mechanisms
- NeurIPS 2025Fine-Grained Preference Optimization Improves Spatial Reasoning in VLMs
- NeurIPS 2025Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods
- NeurIPS 2025Fire360: A Benchmark for Robust Perception and Episodic Memory in Degraded 360° Firefighting Video
- NeurIPS 2025FRAM: Frobenius-Regularized Assignment Matching with Mixed-Precision Computing
- NeurIPS 2025FraPPE: Fast and Efficient Preference-Based Pure Exploration
- NeurIPS 2025From Judgment to Interference: Early Stopping LLM Harmful Outputs via Streaming Content Monitoring
- NeurIPS 2025From Noise to Narrative: Tracing the Origins of Hallucinations in Transformers
- NeurIPS 2025Fundamental Limitations in Pointwise Defences of LLM Finetuning APIs
- NeurIPS 2025GASP: Efficient Black-Box Generation of Adversarial Suffixes for Jailbreaking LLMs
- NeurIPS 2025Generalization Bound of Gradient Flow through Training Trajectory and Data-dependent Kernel
- NeurIPS 2025Generalizing while preserving monotonicity in comparison-based preference learning models
- NeurIPS 2025Generative RLHF-V: Learning Principles from Multi-modal Human Preference
- NeurIPS 2025GMV: A Unified and Efficient Graph Multi-View Learning Framework
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后,写综述、挑方向或准备投稿时,不用离开对话框就能拿到这页的数字:每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文,AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查对齐与安全在 NeurIPS 2023–2026 的论文趋势,哪一年涨得最快?
AI 会调用的工具:get_topic_stats {"topic": "alignment-and-safety"}
常见问题
- 2023–2026 年四大会议一共有多少篇对齐与安全论文?
- 共 4,558 篇,按年份分别是 2023 年 438 篇、2024 年 875 篇、2025 年 1,363 篇、2026 年 1,882 篇。
- NeurIPS 2026 有多少篇对齐与安全论文?
- NeurIPS 2026 有 480 篇对齐与安全论文,上一届是 455 篇。
- ICLR 2026 有多少篇对齐与安全论文?
- ICLR 2026 有 623 篇对齐与安全论文,上一届是 473 篇。
- ICML 2026 有多少篇对齐与安全论文?
- ICML 2026 有 551 篇对齐与安全论文,上一届是 300 篇。
- CVPR 2026 有多少篇对齐与安全论文?
- CVPR 2026 有 228 篇对齐与安全论文,上一届是 135 篇。
- 哪个会议的对齐与安全论文最多?
- NeurIPS,2023–2026 年共 1,421 篇。